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    • Data Integration

    Data Integration Courses Online

    Learn data integration techniques for combining data from multiple sources. Understand how to create unified datasets for analysis and reporting.

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    Explore the Data Integration Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      AI with Python: Apply & Implement ML Models

      Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      GenAI for Code Migration Tasks Training

      Skills you'll gain: Generative AI, Microsoft Copilot, Data Migration, Software Development Tools, Artificial Intelligence, Maintainability, Scalability, Performance Tuning, Kubernetes, Software Versioning, Application Frameworks, Algorithms, Data Structures

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Building GenAI Applications and Agents

      Skills you'll gain: LangChain, Prompt Engineering, Large Language Modeling, Generative AI Agents, LLM Application, Tool Calling, ChatGPT, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, Application Programming Interface (API), OpenAI, Google Gemini, Automation, Generative AI, Application Development, Development Environment, Prompt Engineering Tools, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      76 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Program Structure and Algorithms Part 2

      Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Bayesian Statistics

      Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

      3.8
      Rating, 3.8 out of 5 stars
      ·
      798 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI for Software Engineers & Developers

      Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative AI Agents, Google Gemini, OpenAI, Performance Tuning, Large Language Modeling, Software Development Tools, Code Review, Application Deployment, Software Documentation, LLM Application, Software Engineering, Artificial Intelligence, AI Personalization, Software Development, Software Quality Assurance, Debugging, Automation

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Sequence Models

      Skills you'll gain: Natural Language Processing, Generative AI, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Supervised Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 2

      Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, OpenAI, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, Case Studies

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Introduction to CNN Training

      Skills you'll gain: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Generative AI for Developers: Unit 1

      Skills you'll gain: Responsible AI, Application Development, Generative AI, Full-Stack Web Development, GitHub, Development Environment, Front-End Web Development, Back-End Web Development, Prompt Engineering

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    Data Integration learners also search

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    1…138139140…739

    In summary, here are 10 of our most popular data integration courses

    • AI with Python: Apply & Implement ML Models: EDUCBA
    • GenAI for Code Migration Tasks Training: Simplilearn
    • Building GenAI Applications and Agents: Coursera Instructor Network
    • Program Structure and Algorithms Part 2: Northeastern University
    • Bayesian Statistics: Duke University
    • Generative AI for Software Engineers & Developers: Edureka
    • Sequence Models: DeepLearning.AI
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
    • Introduction to CNN Training: Simplilearn

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